Pepper leaf transcriptome profiling during an incompatible and a compatible pepper-tobamovirus interaction
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ABSTRACT:
PROVIDER: PRJEB46507 | ENA |
REPOSITORIES: ENA
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Project description:Upon virus infections, the transcriptomic profile of host plants markedly changes. The rapid and comprehensive transcriptional reprogramming is critical to ward off virus attack. To learn more about transcriptional reprogramming in tobamovirus-infected pepper leaves, we carried out transcriptome-wide RNA-Seq analyses of pepper leaves following Obuda pepper virus (ObPV) and Pepper mild mottle virus (PMMoV)-inoculations.
2021-07-23 | E-MTAB-10769 | biostudies-arrayexpress
Project description:A comparative study to determine the pepper leaf curl virus resistance machanism between resistant and susceptible genotypes at three leaf stage. To study the molecular mechanism of pepper leaf curl virus (PepLCV) resistance, pepper plants were exposed to PepLCV through artificial inoculation and hybridization on Agilent tomato microarrays. The expression analysis of PepLCV resistant and susceptible genotypes after artificial inoculation at three leaf stage showed that the resistance against PepLCV is due to sum of expression of hundreds of genes at a particular stage.
2012-10-11 | GSE41131 | GEO
Project description:A comparative study to determine the pepper leaf curl virus resistance machanism between resistant and susceptible genotypes at three leaf stage. To study the molecular mechanism of pepper leaf curl virus (PepLCV) resistance, pepper plants were exposed to PepLCV through artificial inoculation and hybridization on Agilent tomato microarrays. The expression analysis of PepLCV resistant and susceptible genotypes after artificial inoculation at three leaf stage showed that the resistance against PepLCV is due to sum of expression of hundreds of genes at a particular stage. Tomato microarrays consisting of 43,803 probes were used for whole genome expression analysis of chilli peppers for resistance against PepLCV. Transcripts from the leaves of resistant (BS-35) and susceptible plants (IVPBC-535) were compared in response to PepLCV inoculation at three leaf stage.
2012-10-11 | E-GEOD-41131 | biostudies-arrayexpress
Project description:Transcription profiling Ler/Kas-2 incompatible versus compatible lines
2010-08-19 | E-MEXP-2569 | biostudies-arrayexpress
Project description:Watermelon (Citrullus lanatus) is one of the most important vegetable crops in the world and accounts for 20% of the world’s total area devoted to vegetable production. Fusarium wilt of watermelon is one of the most destructive diseases in watermelon worldwide. Transcriptome profiling of watermelon during its incompatible interactions with Fusarium oxysporum f.sp. niveum (FON) was generated using an Agilent custom microarray which contains 15,000 probes representing approximately 8,200 watermelon genes. A total of 24, 275, 596, 598, and 592 genes that are differentially expressed genes between FON- and mock-inoculated watermelon roots at 0.5, 1, 3, 5 and 8 days post inoculation (dpi), respectively, were identified. Bioinformatics analysis of these differentially expressed genes revealed that during the incompatible interaction between watermelon and FON, the expression of a number of pathogenesis-related (PR) genes, transcription factors, signaling/regulatory genes, and cell wall modification genes, was significantly induced. A number of genes for transporter proteins such as aquaporins were down-regulated, indicating that transporter proteins might contribute to the development of wilt symptoms after FON infection. In the incompatible interaction, most genes involved in biosynthesis of jasmonic acid (JA) showed expressed stronger and more sustained than those in compatible interaction in FON-infected tissues. Similarly, genes associated with shikimate-phenylpropanoid-lignin biosynthesis were also induced in incompatible interaction, but expression of these genes were not changed or repressed in the compatible interaction.
2011-06-09 | GSE29804 | GEO
Project description:Watermelon (Citrullus lanatus) is one of the most important vegetable crops in the world and accounts for 20% of the world’s total area devoted to vegetable production. Fusarium wilt of watermelon is one of the most destructive diseases in watermelon worldwide. Transcriptome profiling of watermelon during its incompatible interactions with Fusarium oxysporum f.sp. niveum (FON) was generated using an Agilent custom microarray which contains 15,000 probes representing approximately 8,200 watermelon genes. A total of 24, 275, 596, 598, and 592 genes that are differentially expressed genes between FON- and mock-inoculated watermelon roots at 0.5, 1, 3, 5 and 8 days post inoculation (dpi), respectively, were identified. Bioinformatics analysis of these differentially expressed genes revealed that during the incompatible interaction between watermelon and FON, the expression of a number of pathogenesis-related (PR) genes, transcription factors, signaling/regulatory genes, and cell wall modification genes, was significantly induced. A number of genes for transporter proteins such as aquaporins were down-regulated, indicating that transporter proteins might contribute to the development of wilt symptoms after FON infection. In the incompatible interaction, most genes involved in biosynthesis of jasmonic acid (JA) showed expressed stronger and more sustained than those in compatible interaction in FON-infected tissues. Similarly, genes associated with shikimate-phenylpropanoid-lignin biosynthesis were also induced in incompatible interaction, but expression of these genes were not changed or repressed in the compatible interaction. Fusarium oxysporum f.sp. niveum induced gene expression in watermelon root was measured at 0.5,1d, 3d, 5d and 8d after inoculation. Sample inoculated with water were used as the mock controls. Three independent experiments were performed.
2011-06-09 | E-GEOD-29804 | biostudies-arrayexpress
Project description:Wheat leaf rust caused by the pathogenic fungus Puccinia triticina, is a serious threat to bread wheat and durum production in many areas of the world. This plant-pathogen interaction has been studied extensively at the molecular genetics level, however proteomics data are still relatively scarce. The present study investigated temporal changes in the abundance of the apoplastic fluid proteome of wheat leaves infected with either virulent or avirulent races of P. triticina, using a label-free LC-MS-based approach. In general, there was very little difference between inoculated and control apoplastic proteomes as a result of either race of pathogen, until haustoria had become well established in the incompatible interaction, although the resistant host responds to pathogen challenge sooner than the susceptible. In the earlier samplings (up to 72 h after inoculation), there were 46 host proteins with significantly changing abundance, however pathogen proteins were detected only rarely and not reproducibly. This is consistent with the hemi-biotrophic life-style of P. triticina; the pathogen infection is characterized by an early phase of a symbiosis-like relationship, followed by a later stage of pathogenesis, with tissue damage and parasitism. The majority of the host proteins with altered abundance up to 72 h post-inoculation were pathogen-response-related, including peroxidases, chitinases, β-1-3-endo-glucanases and PR-proteins. Five days after inoculation with the incompatible race it was possible to detect 150 PT proteins and 117 host proteins which had significantly increased in abundance as well as 33 host proteins which had significantly decreased in abundance and which represent potential targets of pathogen effectors. The pathogen-expressed proteins – seen most abundantly in the incompatible interaction – were mostly uncharacterized proteins, however many of their functions could be inferred through homology-matching with pBLAST. Pathogen proteins also included several candidate effector proteins, some novel and some which have been reported previously from the purified haustoria proteome.
2019-09-13 | PXD012586 | Pride
Project description:Sugar beet (Beta vulgaris subsp. vulgaris) is an economically important crop and provides nearly one third of the global sugar production annually. The beet cyst nematode (BCN), Heterodera schachtii, causes major yield losses in sugar beet worldwide. The most effective and economic approach to control this nematode is growing tolerant or resistant cultivars. To identify candidate genes involved in susceptibility and resistance, the transcriptome of sugar beet and BCN in compatible and incompatible interactions at two time points, was studied using mRNA-seq. In total, 16 cDNA libraries were constructed and 442 691 707raw reads were obtained. In the compatible interaction, many alterations in phytohormone-related genes were detected. The effect of exogenous application of methyl jasmonate and ethephon was therefore investigated and the results revealed significant reduction of J2s infection and female development rates in treated susceptible plants. Our results revealed candidate genes putatively involved in the Hs1pro1-induced resistance, such as genes related to phenylpropanoid pathway, putative R genes and genes encoding F-box proteins, zinc finger and NAC transcription factors, ABC transporters, BURP and CYSTM proteins. Also, the transcriptome of BCN in the infected root samples was analyzed and several nematode effector genes were found. Our study is the first investigation of the transcriptome profile in the compatible and incompatible interactions between sugar beet and BCN.
2020-08-08 | GSE135555 | GEO
Project description:To understand the plant-pathogen interaction comprehensively, it is valuable to monitor the gene expression profiles of both interacting organisms simultaneously in the same infected plant tissue. Using RNA-Seq, we analyzed the mixed transcriptome of rice and blast fungus in infected leaves at 24 hours post-inoculation. We demonstrated that our method detected the gene expression of both the host plant and pathogen simultaneously in the same infected leaf blades in natural infection conditions without any artificial treatments. Using compatible (Ina86-137) and incompatible (P91-15B) fungal strains as pathogens, we revealed the differential expression profiles of the compatible and incompatible interactions and observed that the responsive gene expression was more drastic in the incompatible interaction. Our mixed transcriptome analysis is useful for the simultaneous elucidation of the tactics of host plant defense and pathogen attack.
2012-12-14 | E-MTAB-4287 | biostudies-arrayexpress
Project description:During an incompatible or compatible interaction between rice (Oryza sativa) and the Asian rice gall midge (Orseolia oryzae), a lot of genetic reprogamming occurs in the plant host We used microarray to know the changes occuring in the resistant host (indica rice variety RP2068-18-3-5) when challenged by avirulent biotype of gall midge (GMB 1). During this incompatible interaction the resistance in the host is manifested by a hypersenstive response. Using microarray data, we identified distinct classes of up- and down-regulated genes during this process.
2016-02-23 | GSE70526 | GEO